26 citations · 44 across the 6 of their papers we have counts for
3 papers · 1 filter
Scalable Deep Subspace Clustering Network
Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
Subspace clustering methods face inherent scalability limits due to the cost (with denoting the number of data samples) of constructing full affinities and…
Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification
Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal +2
Adapting person re-identification (reID) models to new target environments remains a challenging problem that is typically addressed using unsupervised domain adaptation (UDA) meth…
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed +1
Adapting Vision-Language Models (VLMs) to new domains with few labeled samples remains a significant challenge due to severe overfitting and computational constraints. State-of-the…